Improving Deep CNN-Based Radar Target Classification Performance by Applying a Denoise Filter
This paper presents a novel method for removing noise from range-Doppler images by using a filter prior to conducting target classification using a deep neural network. Specifically, Kuan, Frost, and Lee filters are employed to eliminate speckle noise components from radar data images. Furthermore,...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
The Korean Institute of Electromagnetic Engineering and Science
2024-03-01
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Series: | Journal of Electromagnetic Engineering and Science |
Subjects: | |
Online Access: | https://www.jees.kr/upload/pdf/jees-2024-2-r-220.pdf |